The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "80351598 (up from 79840206 yesterday: 0.64 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1757657 (up from 1750580 yesterday: 0.4 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13740750

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.19



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 18982634 226274 1.21 4332495 331909 1663 0.50 1.75
India 10187850 18732 0.18 543628 147622 279 0.19 1.45
Brazil 7465806 17246 0.23 888629 190795 307 0.16 2.56
Russia 2992123 28833 0.97 581661 53539 554 1.05 1.79
France 2607688 3093 0.12 271042 62694 146 0.23 2.40
United Kingdom 2262735 34788 1.56 552356 70513 211 0.30 3.12
Turkey 2133373 15118 0.71 1335480 19624 253 1.31 0.92
Italy 2038759 10405 0.51 328768 71620 261 0.37 3.51
Spain 1854951 0 0.00 170304 49824 0 0.00 2.69
Germany 1646240 13504 0.83 462600 29946 366 1.24 1.82
Colombia 1584903 10196 0.65 222654 41943 253 0.61 2.65
Argentina 1578267 3713 0.24 118435 42501 79 0.19 2.69
Mexico 1377217 4974 0.36 208822 122026 189 0.16 8.86
Poland 1253957 4878 0.39 199684 27061 69 0.26 2.16
Iran 1194963 5760 0.48 165977 54574 134 0.25 4.57
Ukraine 1049717 8134 0.78 226732 18389 134 0.73 1.75
Peru 1005546 1564 0.16 34686 37368 51 0.14 3.72
South Africa 994911 11552 1.17 184462 26521 245 0.93 2.67
Netherlands 764907 9869 1.31 205191 11062 47 0.43 1.45
Indonesia 706837 6740 0.96 137130 20994 147 0.71 2.97
Czechia 667569 2706 0.41 123390 10950 91 0.84 1.64
Belgium 638030 784 0.12 48088 19158 69 0.36 3.00
Romania 613760 1387 0.23 105415 15108 85 0.57 2.46
Chile 598394 2563 0.43 39726 16404 46 0.28 2.74
Iraq 590779 836 0.14 28259 12767 12 0.09 2.16
Canada 540941 2200 0.41 128398 14769 23 0.16 2.73
Bangladesh 508099 834 0.16 32310 7428 30 0.41 1.46
Pakistan 471335 1853 0.39 54836 9874 58 0.59 2.09
Philippines 469005 1404 0.30 30936 9067 5 0.06 1.93
Morocco 430562 2369 0.55 53824 7204 34 0.47 1.67
Switzerland 428197 0 0.00 83700 7193 34 0.47 1.68
Israel 398664 4273 1.08 54838 3210 24 0.75 0.81
Sweden 396048 0 0.00 117136 8279 0 0.00 2.09
Portugal 392996 1214 0.31 74356 6556 78 1.20 1.67
Saudi Arabia 362066 163 0.05 3540 6176 8 0.13 1.71
Austria 350484 1429 0.41 49795 5843 60 1.04 1.67
Serbia 323367 3200 1.00 109524 2983 52 1.77 0.92
Hungary 315362 1198 0.38 71781 8951 118 1.34 2.84
Jordan 286356 1050 0.37 48843 3729 18 0.49 1.30
Nepal 257700 500 0.19 17815 1819 3 0.17 0.71
Panama 228724 2064 0.91 52817 3799 43 1.14 1.66
Georgia 220508 1784 0.82 62354 2352 39 1.69 1.07
Japan 218467 3892 1.81 57597 3062 46 1.53 1.40
Azerbaijan 213192 1428 0.67 70869 2454 38 1.57 1.15
Ecuador 209274 446 0.21 11883 13990 6 0.04 6.69
Croatia 204312 350 0.17 56858 3613 65 1.83 1.77
United Arab Emirates 200892 1227 0.61 25616 655 2 0.31 0.33
Bulgaria 197384 469 0.24 36540 7123 50 0.71 3.61
Kazakhstan 197142 926 0.47 17798 2686 1 0.04 1.36
Belarus 184922 1916 1.05 39643 1376 9 0.66 0.74
Lebanon 169472 1403 0.83 35177 1379 12 0.88 0.81
Slovakia 166649 1041 0.63 51187 1732 0 0.00 1.04
Dominican Republic 165940 905 0.55 18285 2404 0 0.00 1.45
Costa Rica 162990 0 0.00 19305 2086 0 0.00 1.28
Armenia 157349 586 0.37 16390 2752 19 0.70 1.75
Bolivia 154349 759 0.49 8857 9093 10 0.11 5.89
Denmark 151764 1838 1.23 62382 1153 19 1.68 0.76
Kuwait 149449 172 0.12 5285 929 3 0.32 0.62
Qatar 142903 169 0.12 3120 244 0 0.00 0.17
Moldova 140996 746 0.53 25439 2883 12 0.42 2.04
Guatemala 135171 91 0.07 9819 4763 6 0.13 3.52
Greece 135114 262 0.19 20546 4553 46 1.02 3.37
West Bank and Gaza 131904 1306 1.00 35806 1281 21 1.67 0.97
Egypt 131315 1189 0.91 13301 7352 43 0.59 5.60
Tunisia 130230 1652 1.28 27239 4426 41 0.94 3.40
Lithuania 128931 2350 1.86 56501 1228 23 1.91 0.95
Oman 128290 0 0.00 3961 1491 0 0.00 1.16
Ethiopia 122413 533 0.44 9673 1901 4 0.21 1.55
Burma 121280 734 0.61 23233 2579 27 1.06 2.13
Honduras 119097 438 0.37 9137 3065 4 0.13 2.57
Slovenia 114184 369 0.32 29409 2532 25 1.00 2.22
Venezuela 111951 348 0.31 7774 1013 3 0.30 0.90
Bosnia and Herzegovina 109330 439 0.40 15562 3923 22 0.56 3.59
Paraguay 104162 274 0.26 16949 2174 20 0.93 2.09
Malaysia 103900 2335 2.30 32541 451 2 0.45 0.43

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2120610 59813 2.90 782669 24218 260 1.09 1.14 53669.72 612.92 1 in 19
Texas 1668138 5414 0.33 294784 26916 20 0.07 1.61 57530.17 928.27 1 in 17
Florida 1264588 17042 1.37 214950 21135 140 0.67 1.67 58879.02 984.04 1 in 17
Illinois 934142 3293 0.35 154167 17224 70 0.41 1.84 73718.06 1359.24 1 in 14
New York 914522 10806 1.20 218575 37286 128 0.34 4.08 47010.52 1916.67 1 in 21
Ohio 664668 11018 1.69 197236 8476 20 0.24 1.28 56862.20 725.12 1 in 18
Georgia 628788 4158 0.67 129417 10685 54 0.51 1.70 59222.28 1006.36 1 in 17
Pennsylvania 608767 6827 1.13 193132 14858 21 0.14 2.44 47552.53 1160.60 1 in 21
Tennessee 560892 14395 2.63 163370 6443 12 0.19 1.15 82083.67 942.90 1 in 12
Michigan 516326 7877 1.55 89750 12690 275 2.22 2.46 51700.55 1270.67 1 in 19
North Carolina 513930 19419 3.93 125378 6526 166 2.61 1.27 49001.32 622.23 1 in 20
Wisconsin 506022 677 0.13 68104 5029 4 0.08 0.99 86909.01 863.73 1 in 12
Arizona 493041 6106 1.25 134141 8424 15 0.18 1.71 64746.94 1106.25 1 in 15
Indiana 492021 3841 0.79 117002 7801 31 0.40 1.59 73084.52 1158.76 1 in 14
New Jersey 458901 3999 0.88 96915 18613 18 0.10 4.06 51665.30 2095.54 1 in 19
Minnesota 406545 2142 0.53 61264 5166 57 1.12 1.27 72087.15 916.02 1 in 14
Missouri 390466 2036 0.52 64878 5470 10 0.18 1.40 63620.46 891.25 1 in 16
Massachusetts 349602 7677 2.25 97585 12010 47 0.39 3.44 50306.04 1728.18 1 in 20
Alabama 343458 1032 0.30 75869 4685 5 0.11 1.36 70047.94 955.50 1 in 14
Virginia 329577 1584 0.48 78404 4840 20 0.41 1.47 38612.41 567.04 1 in 26
Colorado 323619 1430 0.44 66272 4592 6 0.13 1.42 56196.19 797.40 1 in 18
Louisiana 296499 0 0.00 49322 7272 0 0.00 2.45 63779.77 1564.28 1 in 16
South Carolina 288892 3864 1.36 59657 5124 81 1.61 1.77 56109.55 995.20 1 in 18
Oklahoma 276508 3955 1.45 63263 2357 29 1.25 0.85 69878.70 595.66 1 in 14
Iowa 274793 527 0.19 31408 3743 0 0.00 1.36 87095.69 1186.34 1 in 11
Maryland 265440 2280 0.87 53056 5680 21 0.37 2.14 43905.73 939.51 1 in 23
Utah 264078 3489 1.34 51234 1212 8 0.66 0.46 82371.01 378.05 1 in 12
Kentucky 255562 5283 2.11 57498 2534 68 2.76 0.99 57202.49 567.19 1 in 17
Washington 236719 3626 1.56 53638 3184 0 0.00 1.35 31086.32 418.13 1 in 32
Nevada 215653 1589 0.74 50025 2942 1 0.03 1.36 70013.66 955.15 1 in 14
Arkansas 213969 702 0.33 44587 3441 3 0.09 1.61 70901.73 1140.23 1 in 14
Kansas 212989 0 0.00 41626 2503 0 0.00 1.18 73108.84 859.16 1 in 14
Mississippi 205023 845 0.41 41565 4565 3 0.07 2.23 68888.69 1533.86 1 in 15
Connecticut 172743 0 0.00 45028 5791 0 0.00 3.35 48451.36 1624.27 1 in 21
Nebraska 161337 175 0.11 22769 1559 1 0.06 0.97 83403.81 805.93 1 in 12
New Mexico 137226 604 0.44 30370 2316 9 0.39 1.69 65444.54 1104.52 1 in 15
Idaho 135787 554 0.41 26082 1354 5 0.37 1.00 75771.25 755.55 1 in 13
Oregon 108326 1505 1.41 25083 1422 7 0.49 1.31 25683.44 337.15 1 in 39
South Dakota 96963 417 0.43 11659 1446 16 1.12 1.49 109604.94 1634.53 1 in 9
North Dakota 91354 133 0.15 8850 1264 0 0.00 1.38 119877.39 1658.66 1 in 8
Rhode Island 82066 0 0.00 19929 1704 0 0.00 2.08 77467.45 1608.52 1 in 13
West Virginia 80177 1341 1.70 26605 1253 6 0.48 1.56 44863.13 701.12 1 in 22
Montana 79433 504 0.64 12364 919 3 0.33 1.16 74321.33 859.86 1 in 13
Puerto Rico 72443 1019 1.43 16911 1432 0 0.00 1.98 22683.14 448.38 1 in 44
Delaware 54473 820 1.53 15377 895 4 0.45 1.64 55940.66 919.11 1 in 18
Alaska 45479 375 0.83 9208 200 1 0.50 0.44 62168.42 273.39 1 in 16
Wyoming 43146 482 1.13 7205 373 0 0.00 0.86 74549.16 644.48 1 in 13
New Hampshire 39933 1031 2.65 15795 701 11 1.59 1.76 29368.74 515.55 1 in 34
District of Columbia 27710 274 1.00 4838 762 6 0.79 2.75 39263.25 1079.70 1 in 25
Maine 21547 0 0.00 8420 319 0 0.00 1.48 16029.47 237.31 1 in 62
Hawaii 21256 109 0.52 2518 285 0 0.00 1.34 15012.66 201.29 1 in 67
Vermont 6966 185 2.73 2072 121 1 0.83 1.74 11163.66 193.91 1 in 90

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 31446542 2120610 6.74 6544567 782669 11.96 795868.7
2 Texas 13367338 1668138 12.48 2124585 294784 13.87 461008.2
3 Florida 15281351 1264588 8.28 2294412 214950 9.37 711497.3
4 Illinois 12939386 934142 7.22 1917710 154167 8.04 1021115.0
5 New York 24498195 914522 3.73 4109333 218575 5.32 1259316.7
6 Ohio 7534051 664668 8.82 1117386 197236 17.65 644536.4
7 Georgia 5218474 628788 12.05 752274 129417 17.20 491501.0
8 Pennsylvania 3826249 608767 15.91 503125 193132 38.39 298879.3
9 Tennessee 5548115 560892 10.11 873059 163370 18.71 811938.2
10 Michigan 7979269 516326 6.47 1014211 89750 8.85 798977.0
11 North Carolina 6749530 513930 7.61 1202916 125378 10.42 643542.7
12 Wisconsin 5241343 506022 9.65 645820 68104 10.55 900197.9
13 Arizona 2763736 493041 17.84 413823 134141 32.42 362938.3
14 Indiana 5517514 492021 8.92 991754 117002 11.80 819568.4
15 New Jersey 7464364 458901 6.15 1183581 96915 8.19 840374.3
16 Minnesota 5187026 406545 7.84 816391 61264 7.50 919745.5
17 Missouri 3568549 390466 10.94 394560 64878 16.44 581440.5
18 Massachusetts 10622490 349602 3.29 1741677 97585 5.60 1528525.1
19 Alabama 1839635 343458 18.67 202474 75869 37.47 375191.8
20 Virginia 4128799 329577 7.98 692451 78404 11.32 483719.7
21 Colorado 4274788 323619 7.57 832674 66272 7.96 742313.6
22 Louisiana 4075822 296499 7.27 509288 49322 9.68 876748.2
23 South Carolina 3031335 288892 9.53 527414 59657 11.31 588755.8
24 Oklahoma 2591180 276508 10.67 369106 63263 17.14 654839.3
25 Iowa 1161680 274793 23.65 67178 31408 46.75 368194.7
26 Maryland 5546035 265440 4.79 908907 53056 5.84 917355.0
27 Utah 2192624 264078 12.04 284836 51234 17.99 683921.6
28 Kentucky 3113655 255562 8.21 381650 57498 15.07 696929.9
29 Washington 3649210 236719 6.49 529064 53638 10.14 479220.1
30 Nevada 2030683 215653 10.62 312136 50025 16.03 659279.3
31 Arkansas 2006792 213969 10.66 258346 44587 17.26 664979.6
32 Kansas 962204 212989 22.14 117018 41626 35.57 330278.2
33 Mississippi 1332681 205023 15.38 186828 41565 22.25 447787.1
34 Connecticut 4125079 172743 4.19 702981 45028 6.41 1157011.8
35 Nebraska 1699527 161337 9.49 263750 22769 8.63 878577.3
36 New Mexico 1923907 137226 7.13 288990 30370 10.51 917531.7
37 Idaho 534632 135787 25.40 47172 26082 55.29 298332.9
38 Oregon 2537482 108326 4.27 448622 25083 5.59 601621.7
39 South Dakota 367781 96963 26.36 29412 11659 39.64 415731.9
40 North Dakota 1228197 91354 7.44 103076 8850 8.59 1611675.9
41 Rhode Island 1887457 82066 4.35 278609 19929 7.15 1781693.9
42 West Virginia 1461631 80177 5.49 246312 26605 10.80 817857.2
43 Montana 778541 79433 10.20 95958 12364 12.88 728440.3
45 Delaware 939229 54473 5.80 169411 15377 9.08 964534.5
46 Alaska 1245063 45479 3.65 177832 9208 5.18 1701963.6
47 Wyoming 478351 43146 9.02 60724 7205 11.87 826511.6
48 New Hampshire 1005609 39933 3.97 151524 15795 10.42 739575.5
49 District of Columbia 864407 27710 3.21 137020 4838 3.53 1224808.0
50 Maine 1068529 21547 2.02 154570 8420 5.45 794911.1
51 Hawaii 795578 21256 2.67 100401 2518 2.51 561899.7
52 Vermont 680816 6966 1.02 102807 2072 2.02 1091070.5

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4780837 471489 1606 0.34 9.86 3839 513 59622 24818 5.26
Veneto 3219624 237315 2523 1.07 7.37 2589 355 88842 5986 2.52
Piemonte 1651049 193792 417 0.22 11.74 3011 208 31557 7767 4.01
Campania 1989495 185821 539 0.29 9.34 1431 98 80563 2678 1.44
Emilia-Romagna 2502232 165044 1756 1.08 6.60 2630 214 57287 7424 4.50
Lazio 2646199 156790 1123 0.72 5.93 2742 297 76294 3513 2.24
Toscana 1846026 118557 402 0.34 6.42 825 166 10878 3580 3.02
Sicilia 1183197 88934 337 0.38 7.52 1014 170 33290 2283 2.57
Puglia 1006794 86218 544 0.63 8.56 1435 158 53790 2335 2.71
Liguria 694040 59005 34 0.06 8.50 672 66 5672 2844 4.82
Friuli Venezia Giulia 906413 47523 224 0.47 5.24 587 56 12125 1549 3.26
Marche 513159 39516 206 0.52 7.70 412 64 9635 1522 3.85
Abruzzo 505748 34471 34 0.10 6.82 429 36 11885 1167 3.39
Sardegna 469168 30049 173 0.58 6.40 478 43 16400 704 2.34
P.A. Bolzano 354359 28746 24 0.08 8.11 155 17 10566 718 2.50
Umbria 491673 28028 51 0.18 5.70 248 34 3549 601 2.14
Calabria 429174 22515 237 1.06 5.25 263 18 8561 447 1.99
P.A. Trento 442014 20963 124 0.60 4.74 331 48 1726 897 4.28
Basilicata 180627 10472 25 0.24 5.80 89 7 5960 241 2.30
Valle d’Aosta 61248 7154 24 0.34 11.68 77 4 418 372 5.20
Molise 113182 6381 28 0.44 5.64 55 8 2323 181 2.84

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 185872 0 0.00 7913 0 0.00 4.26 21770.80 926.83 1 in 46
Ontario 171892 2198 1.30 4327 23 0.53 2.52 11683.93 294.12 1 in 86
Alberta 93781 0 0.00 890 0 0.00 0.95 21250.37 201.67 1 in 47
British Columbia 48609 0 0.00 808 0 0.00 1.66 9510.82 158.09 1 in 105
Manitoba 23624 0 0.00 617 0 0.00 2.61 17149.70 447.91 1 in 58
Saskatchewan 14255 0 0.00 134 0 0.00 0.94 12063.48 113.40 1 in 83
Nova Scotia 1465 0 0.00 65 0 0.00 4.44 1498.79 66.50 1 in 667
New Brunswick 590 2 0.34 8 0 0.00 1.36 756.42 10.26 1 in 1322
Newfoundland and Labrador 384 0 0.00 4 0 0.00 1.04 736.53 7.67 1 in 1358
Nunavut 265 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 58015.39 1014.39 1 in 17
India 7608.55 110.25 1 in 131
Brazil 35670.36 911.59 1 in 28
Russia 20706.73 370.51 1 in 48
France 38926.53 935.87 1 in 26
United Kingdom 34056.82 1061.30 1 in 29
Turkey 26399.86 242.84 1 in 38
Italy 33709.64 1184.19 1 in 30
Spain 39754.63 1067.81 1 in 25
Germany 19884.53 361.71 1 in 50
Colombia 32298.82 854.76 1 in 31
Argentina 35650.94 960.04 1 in 28
Mexico 10659.57 944.47 1 in 94
Poland 33016.25 712.51 1 in 30
Iran 14723.55 672.42 1 in 68
Ukraine NA NA 1 in NA
Peru 31257.26 1161.58 1 in 32
South Africa 17540.74 467.58 1 in 57
Netherlands 44523.11 643.89 1 in 22
Indonesia 2677.41 79.52 1 in 373

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 706448 9438 1.34
Cook Illinois 383480 8060 2.10
Maricopa Arizona 302640 4906 1.62
Miami-Dade Florida 286662 4127 1.44
Harris Texas 225443 3328 1.48
San Bernardino California 181812 1429 0.79
Dallas Texas 180806 1925 1.06
Riverside California 166690 1829 1.10
Clark Nevada 163484 2260 1.38
Orange California 144542 1845 1.28
San Diego California 142647 1402 0.98
Tarrant Texas 135793 1362 1.00
Broward Florida 132193 1811 1.37
Queens New York 116935 7511 6.42
Kings New York 115527 7672 6.64
Bexar Texas 106793 1685 1.58
Salt Lake Utah 103313 532 0.51
El Paso Texas 97053 1610 1.66
Philadelphia Pennsylvania 89887 2356 2.62
Milwaukee Wisconsin 89531 971 1.08
Suffolk New York 89257 2243 2.51
Hennepin Minnesota 84526 1351 1.60
Wayne Michigan 83383 3578 4.29
Nassau New York 82233 2359 2.87
Franklin Ohio 79986 697 0.87
Palm Beach Florida 79830 1860 2.33
Bronx New York 79308 5113 6.45
Hillsborough Florida 73980 1058 1.43
Orange Florida 72663 727 1.00
Middlesex Massachusetts 70748 2658 3.76
Marion Indiana 67834 1087 1.60
St. Louis Missouri 66843 1342 2.01
Cuyahoga Ohio 66821 877 1.31
Westchester New York 66405 1639 2.47
Pima Arizona 65648 983 1.50
Shelby Tennessee 64356 839 1.30
Utah Utah 64291 204 0.32
Santa Clara California 63302 652 1.03
Kern California 63044 485 0.77
Fresno California 62251 646 1.04
Sacramento California 61630 809 1.31
King Washington 60693 976 1.61
New York New York 59847 3302 5.52
DuPage Illinois 59758 985 1.65
Oakland Michigan 59724 1604 2.69
Mecklenburg North Carolina 59704 530 0.89
Davidson Tennessee 58897 538 0.91
Duval Florida 57999 716 1.23
Providence Rhode Island 55922 1277 2.28
Oklahoma Oklahoma 55682 419 0.75
Essex Massachusetts 54530 1636 3.00
Fulton Georgia 54285 778 1.43
Gwinnett Georgia 54074 591 1.09
Fairfield Connecticut 53101 1669 3.14
Prince George’s Maryland 52767 1063 2.01
Suffolk Massachusetts 51663 1343 2.60
Douglas Nebraska 51342 480 0.93
Allegheny Pennsylvania 50859 906 1.78
Will Illinois 50712 753 1.48
Hidalgo Texas 49728 2176 4.38
Jefferson Kentucky 49497 516 1.04
Hamilton Ohio 49478 411 0.83
Jefferson Alabama 49278 658 1.34
Macomb Michigan 48676 1574 3.23
Alameda California 48365 625 1.29
Travis Texas 48208 531 1.10
Lake Illinois 46940 788 1.68
Denver Colorado 46455 653 1.41
Tulsa Oklahoma 45873 373 0.81
Essex New Jersey 45746 2364 5.17
Bergen New Jersey 45360 2277 5.02
Collin Texas 45092 350 0.78
Montgomery Maryland 44287 1093 2.47
New Haven Connecticut 44134 1486 3.37
Hartford Connecticut 43253 1790 4.14
Pinellas Florida 42973 1020 2.37
Middlesex New Jersey 42917 1630 3.80
Kent Michigan 42373 525 1.24
Hudson New Jersey 42202 1678 3.98
San Joaquin California 42089 618 1.47
Fairfax Virginia 41769 671 1.61
Cobb Georgia 41479 566 1.36
Wake North Carolina 40855 337 0.82
Polk Iowa 40482 406 1.00
Lubbock Texas 40453 522 1.29
Kane Illinois 40356 585 1.45
El Paso Colorado 39805 528 1.33
Worcester Massachusetts 39704 1452 3.66
Bernalillo New Mexico 39224 531 1.35
Erie New York 39183 1137 2.90
Passaic New Jersey 39089 1426 3.65
Lake Indiana 38756 571 1.47
Adams Colorado 38691 495 1.28
Lee Florida 38575 651 1.69
Contra Costa California 37610 321 0.85
Baltimore Maryland 37356 905 2.42
Sedgwick Kansas 36975 349 0.94
Arapahoe Colorado 36844 536 1.45
Denton Texas 36813 320 0.87
Johnson Kansas 36727 413 1.12

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc